package com.atguigu.fink.chapter01.window;

import com.atguigu.fink.bean.WaterSensor;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.*;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

import java.time.Duration;

import static org.apache.flink.table.api.Expressions.$;
import static org.apache.flink.table.api.Expressions.lit;

/**
 * @Author lzc
 * @Date 2022/11/28 15:09
 */
public class Flink01_TableApi_Window {
    public static void main(String[] args) {
        Configuration conf = new Configuration();
        conf.setInteger("rest.port", 2000);
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(conf);
        env.setParallelism(1);
        SingleOutputStreamOperator<WaterSensor> stream = env
            .fromElements(
                new WaterSensor("s1", 1000L, 10),
                new WaterSensor("s1", 2000L, 10),
                new WaterSensor("s2", 3000L, 20),
                new WaterSensor("s1", 4000L, 30),
                new WaterSensor("s1", 5000L, 40),
                new WaterSensor("s1", 8000L, 50)
            )
            .assignTimestampsAndWatermarks(
                WatermarkStrategy
                    .<WaterSensor>forBoundedOutOfOrderness(Duration.ofSeconds(3))
                    .withTimestampAssigner((ws, ts) -> ws.getTs())
        
            );
    
        StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
        

        Table table = tEnv.fromDataStream(stream, $("id"), $("ts").rowtime(), $("vc"));
      
        // 在 table api 中使用分组窗口
//        GroupWindow win = Tumble.over(Expressions.lit(5).seconds()).on($("ts")).as("w");
//        GroupWindow win = Slide.over(Expressions.lit(5).seconds()).every(Expressions.lit(2).seconds()).on($("ts")).as("w");
        GroupWindow win = Session.withGap(lit(2).seconds()).on($("ts")).as("w");
        table
            .window(win)
            .groupBy($("id"), $("w"))
            .select($("id"), $("w").start(), $("w").end(), $("vc").sum().as("vc_sum"))
            .execute()
            .print();

        
    }
}
/*
分组窗口 grouped window

-------------
over 窗口

 */